Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction: The study aimed to explore the causal association between genetically predicted sleep traits (chronotype, sleep duration, short sleep duration, long sleep duration, insomnia, daytime sleepiness, and sleep apnea syndrome) and diabetic nephropathy (DN). Material and methods: A two-sample Mendelian randomization (MR) design was used to analyze summary data from genome-wide association studies of sleep traits and DN. The main analysis was conducted using the inverse variance weighted (IVW) method, and robustness was tested using the weighted median, weighted mode, and MR-Egger regression methods. Heterogeneity was detected using Cochran's Q-test, horizontal pleiotropy using the MR-Egger regression method, potential outliers using MR-PRESSO, and single-nucleotide polymorphisms driving the results using a leave-one-out analysis. Results: > 0.05). Conclusions: This MR analysis suggested no causal associations between the sleep traits (chronotype, sleep duration, short sleep duration, long sleep duration, insomnia, daytime sleepiness, and sleep apnea syndrome) and DN. Further in-depth research is needed to examine the relationship between sleep and DN.
Source: Archives of Medical Science
DOI: 10.5114/aoms/208530
Authors: Chen Ji, Chunyang Zhang
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,078
OpenAlex ID: W4414379601
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